Tell a bit about your experience working in an anti-fraud environment

1. experience in conducting advanced sql queries 2. experience in Analyzing historical data and applying root cause analyses to identify trends and patterns; 3. experience in Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; 4. experience in Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL; 5. experience in Using Python to manipulate data for analysis and prediction, automate data load processes, and optimize reporting processes 6. experience in Developing and maintaining tables, views, indexes, datasets, and/or data pipelines to extract, clean, transform, load and maintain data across multiple databases.